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New MOX Report on “Active Flow Control for Bluff Body under High Reynolds Number Turbulent Flow Conditions Using Deep Reinforcement Learning”

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New MOX Report on “Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks”

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New MOX Report on “Reconstructing the system coefficients for coupled harmonic oscillators”

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New MOX Report on “Coupled Eikonal problems to model cardiac reentries in Purkinje network and myocardium”

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New MOX Report on “Coupled Eikonal problems to model cardiac reentries in Purkinje network and myocardium”

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New MOX Report on “Coupled Eikonal problems to model cardiac reentries in Purkinje network and myocardium”

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Francesco Regazzoni’s research project entitled “SYNERGIZE: Synergizing Numerical Methods and Machine Learning for a new generation of computational models” has been selected for funding through the prestigious FIS — Fondo Italiano per la Scienza — programme (Starting Grant scheme)

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New MOX Report on “A comparative analysis of mesh-based and particle-based numerical methods for landslide run-out simulations”

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New MOX Report on “On latent dynamics learning in nonlinear reduced order modeling”

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New MOX Report on “Unified discontinuous Galerkin analysis of a thermo/poro-viscoelasticity model”